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作物学报 ›› 2013, Vol. 39 ›› Issue (05): 837-844.doi: 10.3724/SP.J.1006.2013.00837

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

玉米纹枯病胁迫相关miRNA功能研究

罗茂1,**,彭华2,**,宋锐2,高健2,潘光堂2,*,张志明2,*   

  1. 1 泸州医学院药物与功能性食品研究中心, 四川泸州 646000; 2 四川农业大学玉米研究所, 四川温江611130
  • 收稿日期:2012-09-03 修回日期:2012-12-11 出版日期:2013-05-12 网络出版日期:2013-02-19
  • 通讯作者: 潘光堂, 张志明, E-mail: panlab605@gmail.com, Tel: 028-86290917
  • 基金资助:

    本研究由国家高技术研究发展计划(863计划)项目(SS2012AA100107, 2012AA10A300),国家自然科学基金项目(30900901和31271740/c130403),高产转基因玉米新品种培育项目(2011ZX08003-003)和四川省教育厅面上基金(11ZB123)资助。

Functional Analysis of miRNA Resistant to Banded Leaf-Sheath Blight in Maize

LUO Mao1,**,PENG Hua2,**,SONG Rui2,GAO Jian2,PAN Guang-Tang2,*,ZHANG Zhi-Ming2,*   

  1. 1 Research Center for Drug Discovery of Luzhou Medical College, Luzhou 646000, China; 2 Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Maize Research Institute of Sichuan Agricultural University, Wenjiang 611130, China
  • Received:2012-09-03 Revised:2012-12-11 Published:2013-05-12 Published online:2013-02-19
  • Contact: 潘光堂, 张志明, E-mail: panlab605@gmail.com, Tel: 028-86290917

摘要:

microRNA (miRNA)是一类内源性的、19~24个碱基长度的小分子非编码RNA, 通过碱基互补调控靶基因的表达, 参与调控植物生长发育, 并在多种非生物与生物胁迫响应中发挥重要作用。但目前关于玉米纹枯病胁迫相关miRNA表达调节与功能尚不完全清楚。利用生物信息学挖掘玉米中的microRNA及其靶基因, 筛选到23条新的玉米miRNA, 预测到89个靶基因。本文在前期研究基础上, 以对纹枯病抗性不同的自交系R15478作为对象, 采用半定量方法对预测获得部分miRNA前体初步鉴定, 采用实时荧光定量PCR手段对R15478中表达存在差异的成熟miRNA进行抗纹枯病组织特异性表达验证。结果提示, 部分miRNA在玉米抗纹枯病胁迫过程中可能起着重要的调控作用。

关键词: miRNA, 半定量, 实时荧光定量PCR, 玉米

Abstract:

microRNAs (miRNAs) are an extensive class of endogenous, non-coding, short (19–24 nt) RNA molecules, which directly involve in regulating gene expression at the post-transcriptional level and play important roles in the regulation of plant growth and development, and in response to various abiotic and biotic stress. However, the miRNAs-regulated networks and function in response to BLSB are not very clear in Zea mays. In our previous studies, miRNAs and their target genes in maize were excavated by bioinformatic prediction, and a total of 23 conserved miRNAs and 89 miRNA targets were predicted and identified by a web-based integrated computing system and WMD 3. In this paper, based on previous studies, we profiled the responsive functions of miRNAs under BLSB stress, preliminarily identified the precursor of miRNAs in BLSB-stressed Zea mays (R15 and Ye478) by using semi-quantitative RT-PCR and detected the level of mature miRNAs under BLSB stress, showing that some miRNAs play very important roles in response to BLSB in Zea mays.

Key words: miRNA, Semi-quantitative RT-PCR, QPCR, Zea mays

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